Large Dataset of Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images
| Main Author: | Kermany, Daniel |
|---|---|
| Other Authors: | Zhang, Kang, Goldbaum, Michael |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2018
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| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/rscbjbr9sj |
Daftar Isi:
- Be sure to download the most recent version of this dataset to maintain accuracy. This dataset contains thousands of validated OCT and Chest X-Ray images described and analyzed in "Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning". The images are split into a training set and a testing set of independent patients. Images are labeled as (disease)-(randomized patient ID)-(image number by this patient) and split into 4 directories: CNV, DME, DRUSEN, and NORMAL. This repository of images is made available for use in research only. How to cite this data: Kermany D, Goldbaum M, Cai W et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell. 2018; 172(5):1122-1131. doi:10.1016/j.cell.2018.02.010.